Python Developer

Cloud Kinetics; Kuala Lumpur; On-site; MYR 100,000 - 150,000; Full time

Job summary

Cloud Kinetics in Kuala Lumpur invites a hands-on professional to prototype AI solutions for enterprise use cases. You will design and deliver functional AI prototypes using AWS Bedrock, Lambda, and Step Functions, with emphasis on explainability and reusability.

You will document architecture, setup, and use case context, and curate a library of reusable demos. Collaborate closely with AWS teams to align with SA directions and business needs.

Qualifications

• Experience building AI prototypes on AWS in enterprise settings.
• Documentation of architecture, setup, and use cases.
• Demos must be modular and reusable across use cases.

Responsibilities

• Participate in requirement gathering using Working Backwards methodology.
• Document use cases, success criteria, and acceptance criteria; support workshops & hackathons
• Design and build functional prototypes/demos for qualified AI use cases
• Develop on AWS Innovation Sandbox: Bedrock, Agentcore S3, Lambda, Step Functions, DynamoDB.
• Iterate based on customer feedback and AWS SA technical direction
• Contribute to a curated library of reusable prototypes and demo assets
• Version-control all artefacts in designated AWS repository
• Document each prototype: architecture, setup guide, use case context, and demo script
• Ensure demos are modular and adaptable & repeatable across use cases where possible

Skills

Serverless architecture

AI/ML prototyping

Tools

AWS Lambda

AWS Step Functions

Job description

• Participate in requirement gathering using Working Backwards methodology


• Document use cases, success criteria, and acceptance criteria; support workshops & hackathons

2 - Prototype Build & Delivery

• Design and build functional prototypes/demos for qualified AI use cases


• Develop on AWS Innovation Sandbox: Bedrock, Agentcore S3, Lambda, Step Functions, DynamoDB. According to reference architectures


• Focus: Agentic AI workflows, multi-agent orchestration, Knowledge Bases, Model customization


• Iterate based on customer feedback and AWS SA technical direction

3 - Demo Library & Knowledge Management

• Contribute to a curated library of reusable prototypes and demo assets


• Version-control all artefacts in designated AWS repository


• Document each prototype: architecture, setup guide, use case context, and demo script


• Ensure demos are modular and adaptable & repeatable across use cases where possible

Skills:

• Serverless: Lambda, Step Functions

Certifications:

• AWS Certified AI Practitioner


• AWS Solutions Architect - Associate

Domain Knowledge (Preferred)

Oil & Gas / Energy sector experience preferred; enterprise AI platform